We are looking for motivated students to join a short-term paid internship focused on Spanish audio annotation and transcription. Interns will work on speech and language datasets by listening to short audio clips, transcribing spoken Spanish accurately, and marking relevant audio events. This is a great opportunity for students interested in Artificial Intelligence (AI), language technologies, speech processing, data annotation, and real-world industry projects. Prior experience is not required—training and onboarding will be provided. Duration: 2 Weeks Joining : Immediate Working Hours: Flexible Expected Commitment: 5–6 hours/day preferred Compensation: EUR 200–300 Certificate: Provided upon successful completion Responsibilities • Listen to short audio segments (10–20 seconds). • Transcribe spoken Spanish accurately. • Identify and mark pauses, background noise, overlapping speech, coughs, unclear speech, and unintelligible audio. • Follow annotation guidelines carefully. • Review completed work for quality and consistency.



Skills Required • Native or near-native Spanish proficiency. • Good English reading and comprehension skills. • High attention to detail. • Basic computer proficiency. • Ability to follow detailed instructions. • No prior experience required. Training will be provided. Idóneo Candidate • Students or recent graduates in Spain. • Native or fluent Spanish speakers with strong listening and comprehension skills. • Interested in AI, language technologies, speech processing, or data-related work. • Comfortable working remotely and independently. • Careful, patient, and detail-oriented. • Have a laptop/desktop and a stable internet connection. Selection Process Candidates will complete a short Spanish transcription assessment before onboarding. Application Interested candidates may share their details and availability. Shortlisted applicants will be contacted for the transcription assessment and onboarding process.

📌 Spanish language - audio annotation & transcription (Madrid)
🏢 Zyka AI
📍 Madrid